Artificial intelligence is increasingly embedded in research workflows, raising important questions about its role in scientific practice. Our webinar “AI and Us: Building Trust in Research” (April 10, 2026) brought together researchers from different backgrounds to explore these challenges and exchange perspectives.
The discussion highlighted that the role of AI in academia is still evolving. Questions around how these tools should be integrated, documented, and communicated remain open, underscoring the need for continued dialogue and shared practices across the research community.
As AI continues to shape research, developing robust and nuanced approaches will depend on collective reflection and collaboration. At scienceOS, we see this as an ongoing conversation and look forward to continuing it together.
Slides:
For transparency and for those who were unable to attend, the speakers made the presentation slides available below:
- Dr. Joss von Hadeln:
Educating for Uncertainty: The Alignment Problem - Dr. Ulrich Degenhardt:
Trust, Reliance and Large Language Models - Dr. Olya Vvedenskaya:
Trust in AI in Research: Yet Another Variable
